Accelerate AI deployment with Qohash as a Machine Learning Developer. Focus on building efficient models directly for on-device inference to enhance data security solutions.
Join the new QSIDS team at Qohash to lead the charge in integrating advanced machine learning into critical systems. This role requires expertise in embedding models within a Go-based detection engine. Your collaborative spirit will drive the advancement of AI-powered data security while ensuring robust performance and reliability.
Key Responsibilities:
• Build and optimize machine learning models for on-device use
• Collaborate with engineers to integrate models into systems
• Own model performance post-deployment and iterate as needed




• Resolve technical issues quickly as they arise
• Foster communication of complex concepts with stakeholders
Requirements:
• 7+ years in deploying machine learning models in production
• Hands-on experience monitoring and improving models post-deployment
• Bachelor's or master's in computer science or similar
• Familiarity with low-resource systems programming
• Experience in startup environments preferred
Shape the future of data security through cutting-edge machine learning at Qohash.
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📌 Machine Learning Developer at Qohash (Toronto)
🏢 Qohash
📍 Toronto